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Supporting Dataset for “Robust Method for Confidence Interval Estimation in Outlier-Prone Datasets”
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Description: This repository contains the datasets and supporting R codes used in the preparation of the manuscript: Robust Method for Confidence Interval Estimation in Outlier-Prone Datasets: Application to Molecular and Biophysical Data Victor V. Golovko, Biomolecules 2025, 15(5), 704; https://doi.org/10.3390/biom15050704. The codes reproduce the hybrid-parametric bootstrap and Steiner’s Most Frequent Value (MFV) workflow, calculate confidence intervals, and generate all figures and tables presented in the paper.
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